PREDICTING THROUGH AUTOMATED REASONING: A REVOLUTIONARY STAGE IN STREAMLINED AND REACHABLE NEURAL NETWORK ARCHITECTURES

AI has achieved significant progress in recent years, with systems matching human capabilities in numerous tasks. However, the true difficulty lies not just in training these models, but in utilizing them optimally in everyday use cases. This is where machine learning inference becomes crucial, emerging as a critical focus for experts and tech lead